Alexandre Pesant

AI Lead at Lovable, where he works on AI-native software development and coding-agent product capabilities, including Lovable’s model evaluations, benchmarks, and GPT Engineer-related app-building workflows.

GPT-5.5 Improves Lovable’s Planning Reliability for Complex Software Builds

Alexandre Pesant says Lovable’s main gain from GPT-5.5 is better planning, not simply better code generation. In Lovable’s internal testing, he says the model produced a 31% increase in intent understanding during planning and 22% fewer context-forgetting failures, making users more likely to complete large feature builds from natural-language goals without repeated correction.

OpenAIJun 1, 20264 min read